ABSTRACT
Objective: To observe the diagnostic value of dynamic contrast-enhanced MRI (DCE-MRI), 1H-MRS and the combination of them for breast cancer using Meta-analysis. Methods Literatures from PubMed, Embase, Cochrane Library, CNKI, Wanfang and VIP databases were searched from establishment to May 2018, for the diagnostic studies about breast cancer by DCE-MRI, 1H-MRS and the combination of these two methods. Meta-Disc 1.4 and STATA 12.0 software were used for Meta-analysis. Results Totally 14 studies were enrolled. The pooled sensitivity of DCE-MRI, 1H-MRS and the combination of these two methods in diagnosing breast cancer was 0.93 (95%CI [0.90, 0.95]), 0.80 (95%CI [0.76, 0.83]) and 0.95 (95%CI [0.92, 0.97]), the pooled specificity was 0.77 (95%CI [0.73, 0.82]), 0.81 (95%CI [0.77, 0.85]) and 0.83 (95%CI [0.77, 0.87]), the pooled diagnostic odds ratio was 43.69 (95%CI [28.38, 67.26]), 24.24 (95%CI [16.24, 36.16]) and 95.64 (95%CI [48.90, 187.07]), the AUC of summary receiver operating characteristic curve was 0.932 9, 0.899 9 and 0.961 9, respectively. Conclusion DCE-MRI and 1H-MRS are both effective diagnostic technique for breast cancer, and the combination of these two methods can provide more preferable diagnostic accuracy than single use of them.
ABSTRACT
Objective To explore the characteristics and significance of functional connectivity (FC) of affective network (AN) in patients with postpartum depression (PPD) under resting state. Methods A total of 23 patients with PPD (PPD group) and 28 healthy postpartum women (control group) were examined using resting-state fMRI. As two critical nodes of AN, amygdala (AMYG) and subgenual anterior cingulate cortex (sgACC) were selected as the regions of interest (ROI) to analyze the differences of functional connectivity strength (FCS) of two regions from other brain regions between two groups, followed by Pearson correlation analysis on the abnormal FCS and the Edinburgh postnatal depression scale (EPDS) score in PPD group. Results Compared to the control group, the patients in PPD group showed the extensively reduced FCS (P<0.05, Alphasim correction) between AMYG and frontal cortex, temporal cortex, hippocampus, cerebellum and orbitofrontal cortex, while there were enhanced FCS (P<0.05, Alphasim correction) between sgACC and parietal cortex, occipital cortex, thalamus, superior temporal gyrus and cingulate cortex. Moreover, in PPD group, the reduced FCS between left AMYG and left medial orbitofrontal cortex was negatively correlated with EPDS scores (r=-0.62, P=0.02). Conclusion Patients with PPD have dysfunctional connectivity of AN in multiple brain regions. The weaker FCS between left amygdala and left medial orbitofrontal cortex is, the more severe depression. The dysfunctional connectivity of AN may provide an effective mechanism-based biomarker underlying PPD.